Big Data and cloud computing: innovation opportunities and challenges

C Yang, Q Huang, Z Li, K Liu, F Hu - International Journal of Digital …, 2017 - Taylor & Francis
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

Distributed control of cyber physical system on various domains: a critical review

M Hamzah, MM Islam, S Hassan, MN Akhtar… - Systems, 2023 - mdpi.com
Cyber-Physical System (CPS) is a symbol of the fourth industrial revolution (4IR) by
integrating physical and computational processes which can associate with humans in …

Big data in cyber-physical systems, digital manufacturing and industry 4.0

L Wang, G Wang - International Journal of Engineering and …, 2016 - search.proquest.com
A cyber physical system (CPS) is a complex system that integrates computation,
communication, and physical processes. Digital manufacturing is a method of using …

Big data analytics and big data science: a survey

Y Chen, H Chen, A Gorkhali, Y Lu, Y Ma… - Journal of Management …, 2016 - Taylor & Francis
Big data has attracted much attention from academia and industry. But the discussion of big
data is disparate, fragmented and distributed among different outlets. This paper conducts a …

[HTML][HTML] Benchmarking, cómo y de dónde. Una revisión sistemática de la literatura

MA ESPINOZA, DP GALLEGOS - Revista …, 2019 - ifac.portafolio.revistaespacios.com
Para evitar aventurarse al realizar mejoras y llegar a ser eficientes dentro de una
organización, se hace uso del benchmarking. Se presenta a continuación una revisión …

The role of high performance computing and communication for real‐time biofeedback in sport

A Umek, A Kos - Mathematical problems in engineering, 2016 - Wiley Online Library
This paper studies the main technological challenges of real‐time biofeedback in sport. We
identified communication and processing as two main possible obstacles for high …

Adaptive learning model and implementation based on big data

Q Liang, NC Hainan - … on Artificial Intelligence and Big Data …, 2019 - ieeexplore.ieee.org
The traditional face-to-face education model can no longer meet the needs of further training
outstanding talents. Only through the Big Data learning analysis model, we can explore …

Towards hybrid supercomputing architectures

K Milfeld, N Korolija - Journal of Computer and Forensic …, 2022 - aseestant.ceon.rs
Towards Hybrid Supercomputing Architectures Page 1 Towards Hybrid Supercomputing
Architectures Nenad Korolija1*, Kent Milfeld2 1 School of Electrical Engineering, University of …

Dataflow-based parallelization of control-flow algorithms

N Korolija, J Popović, M Cvetanović, M Bojović - Advances in computers, 2017 - Elsevier
Compared to control-flow architectures, dataflow architectures usually offer better
performances in high performance computing. Moreover, dataflow architectures consume …

Optimizing data-driven models for summarization as parallel tasks

A Zamuda, E Lloret - Journal of Computational Science, 2020 - Elsevier
This paper presents tackling of a hard optimization problem of computational linguistics,
specifically automatic multi-document text summarization, using grid computing. The main …